{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ead97c91",
   "metadata": {},
   "source": [
    "# Quickstart: Vector search\n",
    "\n",
    "Azure AI Search supports vector indexing and queries, useful for similarity search and information retrieval over multimodal content.\n",
    "\n",
    "This is the source code for the article: [Quickstart: Vector search (Python)](https://learn.microsoft.com/azure/search/search-get-started-vector).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d73a361",
   "metadata": {},
   "source": [
    "## Install packages and set variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ed51eeda",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load environment variables from .env file\n",
    "# Rename the samples.env to .env and fill in the values\n",
    "from azure.identity import DefaultAzureCredential\n",
    "from dotenv import load_dotenv\n",
    "import os\n",
    "\n",
    "load_dotenv(override=True) # take environment variables from .env.\n",
    "\n",
    "search_endpoint = os.environ[\"AZURE_SEARCH_ENDPOINT\"]\n",
    "credential = DefaultAzureCredential()\n",
    "index_name = os.getenv(\"AZURE_SEARCH_INDEX\", \"vector-search-quickstart\")\n",
    "\n",
    "print(f\"Using Azure Search endpoint: {search_endpoint}\")\n",
    "print(f\"Using Azure Search index: {index_name}\")\n",
    "!pip list "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ff033e7",
   "metadata": {},
   "source": [
    "## Create an index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c0d3417a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " vector-search-quickstart created\n"
     ]
    }
   ],
   "source": [
    "from azure.search.documents.indexes import SearchIndexClient\n",
    "from azure.search.documents import SearchClient\n",
    "from azure.search.documents.models import VectorizedQuery\n",
    "from azure.search.documents.indexes.models import (\n",
    "    SimpleField,\n",
    "    ComplexField,\n",
    "    SearchField,\n",
    "    SearchFieldDataType,    \n",
    "    SearchableField,\n",
    "    SearchIndex,\n",
    "    SemanticConfiguration,\n",
    "    SemanticField,\n",
    "    SemanticPrioritizedFields,\n",
    "    SemanticSearch,\n",
    "    VectorSearch, \n",
    "    VectorSearchProfile,\n",
    "    HnswAlgorithmConfiguration,\n",
    "    ExhaustiveKnnAlgorithmConfiguration    \n",
    ")\n",
    "\n",
    "# Create a search schema\n",
    "index_client = SearchIndexClient(\n",
    "    endpoint=search_endpoint, credential=credential)\n",
    "fields = [\n",
    "    SimpleField(name=\"HotelId\", type=SearchFieldDataType.String, key=True, filterable=True),\n",
    "    SearchableField(name=\"HotelName\", type=SearchFieldDataType.String, sortable=True),\n",
    "    SearchableField(name=\"Description\", type=SearchFieldDataType.String),\n",
    "    SearchField(\n",
    "        name=\"DescriptionVector\",\n",
    "        type=SearchFieldDataType.Collection(SearchFieldDataType.Single),\n",
    "        searchable=True,\n",
    "        vector_search_dimensions=1536,\n",
    "        vector_search_profile_name=\"my-vector-profile\"\n",
    "    ),\n",
    "    SearchableField(name=\"Category\", type=SearchFieldDataType.String, sortable=True, filterable=True, facetable=True),\n",
    "    SearchField(name=\"Tags\", type=SearchFieldDataType.Collection(SearchFieldDataType.String), searchable=True, filterable=True, facetable=True),\n",
    "    SimpleField(name=\"ParkingIncluded\", type=SearchFieldDataType.Boolean, filterable=True, sortable=True, facetable=True),\n",
    "    SimpleField(name=\"LastRenovationDate\", type=SearchFieldDataType.DateTimeOffset, filterable=True, sortable=True, facetable=True),\n",
    "    SimpleField(name=\"Rating\", type=SearchFieldDataType.Double, filterable=True, sortable=True, facetable=True),\n",
    "    ComplexField(name=\"Address\", fields=[\n",
    "        SearchableField(name=\"StreetAddress\", type=SearchFieldDataType.String),\n",
    "        SearchableField(name=\"City\", type=SearchFieldDataType.String, filterable=True, sortable=True, facetable=True),\n",
    "        SearchableField(name=\"StateProvince\", type=SearchFieldDataType.String, filterable=True, sortable=True, facetable=True),\n",
    "        SearchableField(name=\"PostalCode\", type=SearchFieldDataType.String, filterable=True, sortable=True, facetable=True),\n",
    "        SearchableField(name=\"Country\", type=SearchFieldDataType.String, filterable=True, sortable=True, facetable=True),\n",
    "    ]),\n",
    "    SimpleField(name=\"Location\", type=SearchFieldDataType.GeographyPoint, filterable=True, sortable=True),\n",
    "]\n",
    "\n",
    "vector_search = VectorSearch(\n",
    "        algorithms=[\n",
    "            HnswAlgorithmConfiguration(name=\"my-hnsw-vector-config-1\", kind=\"hnsw\"),\n",
    "            ExhaustiveKnnAlgorithmConfiguration(name=\"my-eknn-vector-config\", kind=\"exhaustiveKnn\")\n",
    "        ],\n",
    "        profiles=[\n",
    "            VectorSearchProfile(name=\"my-vector-profile\", algorithm_configuration_name=\"my-hnsw-vector-config-1\")\n",
    "        ]\n",
    "    )\n",
    "\n",
    "semantic_config = SemanticConfiguration(\n",
    "        name=\"my-semantic-config\",\n",
    "        prioritized_fields=SemanticPrioritizedFields(\n",
    "           title_field=SemanticField(field_name=\"HotelName\"), \n",
    "           content_fields=[SemanticField(field_name=\"Description\")], \n",
    "           keywords_fields=[SemanticField(field_name=\"Category\")]\n",
    "        )\n",
    "    )\n",
    "\n",
    "# Create the semantic settings with the configuration\n",
    "semantic_search = SemanticSearch(configurations=[semantic_config])\n",
    "\n",
    "semantic_settings = SemanticSearch(configurations=[semantic_config])\n",
    "scoring_profiles = []\n",
    "suggester = [{'name': 'sg', 'source_fields': ['Tags', 'Address/City', 'Address/Country']}]\n",
    "\n",
    "# Create the search index with the semantic settings\n",
    "index = SearchIndex(name=index_name, fields=fields, vector_search=vector_search, semantic_search=semantic_search)\n",
    "result = index_client.create_or_update_index(index)\n",
    "print(f' {result.name} created')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "444d803e",
   "metadata": {},
   "source": [
    "## Create documents payload"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "81fd809b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a documents payload\n",
    "documents = [\n",
    "    {\n",
    "        \"@search.action\": \"mergeOrUpload\",\n",
    "        \"HotelId\": \"1\",\n",
    "        \"HotelName\": \"Stay-Kay City Hotel\",\n",
    "        \"Description\": \"This classic hotel is fully-refurbished and ideally located on the main commercial artery of the city in the heart of New York. A few minutes away is Times Square and the historic centre of the city, as well as other places of interest that make New York one of America's most attractive and cosmopolitan cities.\",\n",
    "        \"DescriptionVector\": 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    "        \"Category\": \"Boutique\",\n",
    "        \"Tags\": [\n",
    "            \"view\",\n",
    "            \"air conditioning\",\n",
    "            \"concierge\"\n",
    "        ],\n",
    "        \"ParkingIncluded\": \"false\",\n",
    "        \"LastRenovationDate\": \"2022-01-18T00:00:00Z\",\n",
    "        \"Rating\": 3.60,\n",
    "        \"Address\": {\n",
    "            \"StreetAddress\": \"677 5th Ave\",\n",
    "            \"City\": \"New York\",\n",
    "            \"StateProvince\": \"NY\",\n",
    "            \"PostalCode\": \"10022\",\n",
    "            \"Country\": \"USA\"\n",
    "        },\n",
    "        \"Location\": {\n",
    "            \"type\": \"Point\",\n",
    "            \"coordinates\": [\n",
    "                -73.975403,\n",
    "                40.760586\n",
    "            ]\n",
    "        }\n",
    "    },\n",
    "    {\n",
    "        \"@search.action\": \"mergeOrUpload\",\n",
    "        \"HotelId\": \"2\",\n",
    "        \"HotelName\": \"Old Century Hotel\",\n",
    "        \"Description\": \"The hotel is situated in a nineteenth century plaza, which has been expanded and renovated to the highest architectural standards to create a modern, functional and first-class hotel in which art and unique historical elements coexist with the most modern comforts. The hotel also regularly hosts events like wine tastings, beer dinners, and live music.\",\n",
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    "        \"Category\": \"Boutique\",\n",
    "        \"Tags\": [\n",
    "            \"pool\",\n",
    "            \"free wifi\",\n",
    "            \"air conditioning\",\n",
    "            \"concierge\"\n",
    "        ],\n",
    "        \"ParkingIncluded\": \"false\",\n",
    "        \"LastRenovationDate\": \"2019-02-18T00:00:00Z\",\n",
    "        \"Rating\": 3.60,\n",
    "        \"Address\": {\n",
    "            \"StreetAddress\": \"140 University Town Center Dr\",\n",
    "            \"City\": \"Sarasota\",\n",
    "            \"StateProvince\": \"FL\",\n",
    "            \"PostalCode\": \"34243\",\n",
    "            \"Country\": \"USA\"\n",
    "        },\n",
    "        \"Location\": {\n",
    "            \"type\": \"Point\",\n",
    "            \"coordinates\": [\n",
    "                -82.452843,\n",
    "                27.384417\n",
    "            ]\n",
    "        }\n",
    "    },\n",
    "    {\n",
    "        \"@search.action\": \"mergeOrUpload\",\n",
    "        \"HotelId\": \"3\",\n",
    "        \"HotelName\": \"Gastronomic Landscape Hotel\",\n",
    "        \"Description\": \"The Gastronomic Hotel stands out for its culinary excellence under the management of William Dough, who advises on and oversees all of the Hotel’s restaurant services.\",\n",
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    "        \"Category\": \"Suite\",\n",
    "        \"Tags\": [\n",
    "            \"restaurant\",\n",
    "            \"bar\",\n",
    "            \"continental breakfast\"\n",
    "        ],\n",
    "        \"ParkingIncluded\": \"true\",\n",
    "        \"LastRenovationDate\": \"2015-09-20T00:00:00Z\",\n",
    "        \"Rating\": 4.80,\n",
    "        \"Address\": {\n",
    "            \"StreetAddress\": \"3393 Peachtree Rd\",\n",
    "            \"City\": \"Atlanta\",\n",
    "            \"StateProvince\": \"GA\",\n",
    "            \"PostalCode\": \"30326\",\n",
    "            \"Country\": \"USA\"\n",
    "        },\n",
    "        \"Location\": {\n",
    "            \"type\": \"Point\",\n",
    "            \"coordinates\": [\n",
    "                33.847848,\n",
    "                -84.363602\n",
    "            ]\n",
    "        }\n",
    "    },\n",
    "    {\n",
    "        \"@search.action\": \"mergeOrUpload\",\n",
    "        \"HotelId\": \"4\",\n",
    "        \"HotelName\": \"Sublime Palace Hotel\",\n",
    "        \"Description\": \"Sublime Palace Hotel is located in the heart of the historic center of Sublime in an extremely vibrant and lively area within short walking distance to the sites and landmarks of the city and is surrounded by the extraordinary beauty of churches, buildings, shops and monuments. Sublime Cliff is part of a lovingly restored 19th century resort, updated for every modern convenience.\",\n",
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    "        \"Category\": \"Boutique\",\n",
    "        \"Tags\": [\n",
    "            \"concierge\",\n",
    "            \"view\",\n",
    "            \"air conditioning\"\n",
    "        ],\n",
    "        \"ParkingIncluded\": \"true\",\n",
    "        \"LastRenovationDate\": \"2020-02-06T00:00:00Z\",\n",
    "        \"Rating\": 4.60,\n",
    "        \"Address\": {\n",
    "            \"StreetAddress\": \"7400 San Pedro Ave\",\n",
    "            \"City\": \"San Antonio\",\n",
    "            \"StateProvince\": \"TX\",\n",
    "            \"PostalCode\": \"78216\",\n",
    "            \"Country\": \"USA\"\n",
    "        },\n",
    "        \"Location\": {\n",
    "            \"type\": \"Point\",\n",
    "            \"coordinates\": [\n",
    "                -98.498923,\n",
    "                29.518029\n",
    "            ]\n",
    "        }\n",
    "    },\n",
    "    {\n",
    "        \"@search.action\": \"mergeOrUpload\",\n",
    "        \"HotelId\": \"48\",\n",
    "        \"HotelName\": \"Nordick's Valley Motel\",\n",
    "        \"Description\": \"Only 90 miles (about 2 hours) from the nation's capital and nearby most everything the historic valley has to offer. Hiking? Wine Tasting? Exploring the caverns? It's all nearby and we have specially priced packages to help make our B&B your home base for fun while visiting the valley.\",\n",
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    "        \"Category\": \"Boutique\",\n",
    "        \"Tags\": [\n",
    "            \"continental breakfast\",\n",
    "            \"air conditioning\",\n",
    "            \"free wifi\"\n",
    "        ],\n",
    "        \"ParkingIncluded\": \"false\",\n",
    "        \"LastRenovationDate\": \"2018-02-19T00:00:00Z\",\n",
    "        \"Rating\": 4.5,\n",
    "        \"Address\": {\n",
    "            \"StreetAddress\": \"1401 I St NW\",\n",
    "            \"City\": \"Washington D.C.\",\n",
    "            \"StateProvince\": \"null\",\n",
    "            \"PostalCode\": \"20005\",\n",
    "            \"Country\": \"USA\"\n",
    "        },\n",
    "        \"Location\": {\n",
    "            \"type\": \"Point\",\n",
    "            \"coordinates\": [\n",
    "            -77.03241,\n",
    "            38.90166\n",
    "            ],\n",
    "            \"crs\": {\n",
    "            \"type\": \"name\",\n",
    "            \"properties\": {\n",
    "                \"name\": \"EPSG:4326\"\n",
    "                }\n",
    "            }\n",
    "        }\n",
    "    },\n",
    "    {\n",
    "        \"@search.action\": \"mergeOrUpload\",\n",
    "        \"HotelId\": \"49\",\n",
    "        \"HotelName\": \"Swirling Currents Hotel\",\n",
    "        \"Description\": \"Spacious rooms, glamorous suites and residences, rooftop pool, walking access to shopping, dining, entertainment and the city center. Each room comes equipped with a microwave, a coffee maker and a minifridge. In-room entertainment includes complimentary W-Fi and flat-screen TVs.\",\n",
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    "        \"Category\": \"Suite\",\n",
    "        \"Tags\": [\n",
    "            \"air conditioning\",\n",
    "            \"laundry service\",\n",
    "            \"24-hour front desk service\"\n",
    "        ],\n",
    "        \"ParkingIncluded\": \"true\",\n",
    "        \"LastRenovationDate\": \"2018-01-27T00:00:00Z\",\n",
    "        \"Rating\": 2.7,\n",
    "        \"Address\": {\n",
    "            \"StreetAddress\": \"1100 S Hayes St\",\n",
    "            \"City\": \"Arlington\",\n",
    "            \"StateProvince\": \"VA\",\n",
    "            \"PostalCode\": \"22202\",\n",
    "            \"Country\": \"USA\"\n",
    "        },\n",
    "        \"Location\": {\n",
    "            \"type\": \"Point\",\n",
    "            \"coordinates\": [\n",
    "            -77.060066,\n",
    "            38.863659\n",
    "            ],\n",
    "            \"crs\": {\n",
    "            \"type\": \"name\",\n",
    "            \"properties\": {\n",
    "                \"name\": \"EPSG:4326\"\n",
    "                }\n",
    "            }\n",
    "        }\n",
    "    },\n",
    "    {\n",
    "        \"@search.action\": \"mergeOrUpload\",\n",
    "        \"HotelId\": \"13\",\n",
    "        \"HotelName\": \"Luxury Lion Resort\",\n",
    "        \"Description\": \"Unmatched Luxury. Visit our downtown hotel to indulge in luxury accommodations. Moments from the stadium and transportation hubs, we feature the best in convenience and comfort.\",\n",
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    "        \"Category\": \"Luxury\",\n",
    "        \"Tags\": [\n",
    "            \"bar\",\n",
    "            \"concierge\",\n",
    "            \"restaurant\"\n",
    "        ],\n",
    "        \"ParkingIncluded\": \"false\",\n",
    "        \"LastRenovationDate\": \"2020-03-18T00:00:00Z\",\n",
    "        \"Rating\": 4.1,\n",
    "        \"Address\": {\n",
    "            \"StreetAddress\": \"3 Cityplace Dr\",\n",
    "            \"City\": \"St. Louis\",\n",
    "            \"StateProvince\": \"MO\",\n",
    "            \"PostalCode\": \"63141\",\n",
    "            \"Country\": \"USA\"\n",
    "        },\n",
    "        \"Location\": {\n",
    "            \"type\": \"Point\",\n",
    "            \"coordinates\": [\n",
    "            -90.44081,\n",
    "            38.67219\n",
    "            ],\n",
    "            \"crs\": {\n",
    "            \"type\": \"name\",\n",
    "            \"properties\": {\n",
    "                \"name\": \"EPSG:4326\"\n",
    "                }\n",
    "            }\n",
    "        }\n",
    "    }\n",
    "]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03d67515",
   "metadata": {},
   "source": [
    "## Upload the documents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7dea8c9d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Key: 1, Succeeded: True, ErrorMessage: None\n",
      "Key: 2, Succeeded: True, ErrorMessage: None\n",
      "Key: 3, Succeeded: True, ErrorMessage: None\n",
      "Key: 4, Succeeded: True, ErrorMessage: None\n",
      "Key: 48, Succeeded: True, ErrorMessage: None\n",
      "Key: 49, Succeeded: True, ErrorMessage: None\n",
      "Key: 13, Succeeded: True, ErrorMessage: None\n"
     ]
    }
   ],
   "source": [
    "# Upload documents to the index\n",
    "search_client = SearchClient(endpoint=search_endpoint,\n",
    "                      index_name=index_name,\n",
    "                      credential=credential)\n",
    "try:\n",
    "    result = search_client.upload_documents(documents=documents)\n",
    "    for r in result:\n",
    "        print(f\"Key: {r.key}, Succeeded: {r.succeeded}, ErrorMessage: {r.error_message}\")\n",
    "except Exception as ex:\n",
    "    print(\"Failed to upload documents:\", ex)\n",
    "\n",
    "\n",
    "    index_client = SearchIndexClient(\n",
    "    endpoint=search_endpoint, credential=credential)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e16dd03",
   "metadata": {},
   "source": [
    "## Create the vector query string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d1bc21af",
   "metadata": {},
   "outputs": [],
   "source": [
    "### Query is 1536-dimensional vector of \"quintessential lodging near running trails, eateries, retail\"\n",
    "### Note: this same vector can be used for vector search and semantic search\n",
    "### Replace with your own vector\n",
    "vector =  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   ]
  },
  {
   "cell_type": "markdown",
   "id": "939539f6",
   "metadata": {},
   "source": [
    "## Single vector search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fde1ed03",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total results: 5\n",
      "- HotelId: 48, HotelName: Nordick's Valley Motel, Category: Boutique\n",
      "- HotelId: 13, HotelName: Luxury Lion Resort, Category: Luxury\n",
      "- HotelId: 4, HotelName: Sublime Palace Hotel, Category: Boutique\n",
      "- HotelId: 49, HotelName: Swirling Currents Hotel, Category: Suite\n",
      "- HotelId: 2, HotelName: Old Century Hotel, Category: Boutique\n"
     ]
    }
   ],
   "source": [
    "# IMPORTANT: Before you run this code, make sure the documents were successfully\n",
    "# created in the previous step. Sometimes it may take a few seconds for the index to be ready.\n",
    "# Check the \"Document count\" for the index in the Azure portal.\n",
    "\n",
    "# Execute vector search\n",
    "if vector:\n",
    "    try:\n",
    "        vector_query = VectorizedQuery(\n",
    "            vector=vector,\n",
    "            k_nearest_neighbors=5,\n",
    "            fields=\"DescriptionVector\",\n",
    "            kind=\"vector\",\n",
    "            exhaustive=True\n",
    "        )\n",
    "\n",
    "        results = search_client.search(\n",
    "            vector_queries=[vector_query],\n",
    "            select=[\"HotelId\", \"HotelName\", \"Description\", \"Category\", \"Tags\"],\n",
    "            top=5,\n",
    "            include_total_count=True\n",
    "        )\n",
    "\n",
    "        print(f\"Total results: {results.get_count()}\")\n",
    "        for result in results:\n",
    "            doc = result  # result is a dict-like object\n",
    "            print(f\"- HotelId: {doc['HotelId']}, HotelName: {doc['HotelName']}, Category: {doc.get('Category')}\")\n",
    "    except Exception as ex:\n",
    "        print(\"Vector search failed:\", ex)\n",
    "else:\n",
    "    print(\"No vector loaded, skipping search.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8e221f3",
   "metadata": {},
   "source": [
    "## Single vector search with filter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f3e53277",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total filtered results: 2\n",
      "- HotelId: 48, HotelName: Nordick's Valley Motel, Tags: ['continental breakfast', 'air conditioning', 'free wifi']\n",
      "- HotelId: 2, HotelName: Old Century Hotel, Tags: ['pool', 'free wifi', 'air conditioning', 'concierge']\n"
     ]
    }
   ],
   "source": [
    "if vector:\n",
    "    try:\n",
    "        vector_query = VectorizedQuery(\n",
    "            vector=vector,\n",
    "            k_nearest_neighbors=5,\n",
    "            fields=\"DescriptionVector\",\n",
    "            kind=\"vector\",\n",
    "            exhaustive=True\n",
    "        )\n",
    "\n",
    "        results = search_client.search(\n",
    "            vector_queries=[vector_query],\n",
    "            filter=\"Tags/any(tag: tag eq 'free wifi')\",  # <--- NOTICE THE FILTER IS ADDED HERE\n",
    "            select=[\"HotelId\", \"HotelName\", \"Description\", \"Category\", \"Tags\"],\n",
    "            top=7,\n",
    "            include_total_count=True\n",
    "        )\n",
    "\n",
    "        print(f\"Total filtered results for 'free wifi': {results.get_count()}\")\n",
    "        for result in results:\n",
    "            doc = result\n",
    "            print(f\"- HotelId: {doc['HotelId']}, HotelName: {doc['HotelName']}, Tags: {doc.get('Tags')}\")\n",
    "    except Exception as ex:\n",
    "        print(\"Vector search with filter failed:\", ex)\n",
    "else:\n",
    "    print(\"No vector loaded, skipping search.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "581edd73",
   "metadata": {},
   "source": [
    "## Vector query with a geo filter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "185ed07b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total semantic hybrid results: 2\n",
      "- HotelId: 48\n",
      "  HotelName: Nordick's Valley Motel\n",
      "  Score: 0.6605852246284485\n",
      "  City/State: Washington D.C., null\n",
      "  Description: Only 90 miles (about 2 hours) from the nation's capital and nearby most everything the historic valley has to offer. Hiking? Wine Tasting? Exploring the caverns? It's all nearby and we have specially priced packages to help make our B&B your home base for fun while visiting the valley.\n",
      "\n",
      "- HotelId: 49\n",
      "  HotelName: Swirling Currents Hotel\n",
      "  Score: 0.602634072303772\n",
      "  City/State: Arlington, VA\n",
      "  Description: Spacious rooms, glamorous suites and residences, rooftop pool, walking access to shopping, dining, entertainment and the city center. Each room comes equipped with a microwave, a coffee maker and a minifridge. In-room entertainment includes complimentary W-Fi and flat-screen TVs.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "if vector:\n",
    "    try:\n",
    "        vector_query = VectorizedQuery(\n",
    "            vector=vector,\n",
    "            k_nearest_neighbors=5,\n",
    "            fields=\"DescriptionVector\",\n",
    "            kind=\"vector\",\n",
    "            exhaustive=True\n",
    "        )\n",
    "\n",
    "        results = search_client.search(\n",
    "            include_total_count=True,\n",
    "            top=5,\n",
    "            select=[\n",
    "                \"HotelId\", \"HotelName\", \"Category\", \"Description\", \"Address/City\", \"Address/StateProvince\"\n",
    "            ],\n",
    "            facets=[\"Address/StateProvince\"],\n",
    "            filter=\"geo.distance(Location, geography'POINT(-77.03241 38.90166)') le 300\",\n",
    "            vector_filter_mode=\"postFilter\",\n",
    "            vector_queries=[vector_query]\n",
    "        )\n",
    "\n",
    "        print(f\"Total filtered results based on geo coordinates: {results.get_count()}\")\n",
    "        for result in results:\n",
    "            doc = result\n",
    "            score = result.get(\"@search.score\", \"N/A\")\n",
    "            print(f\"- HotelId: {doc['HotelId']}\")\n",
    "            print(f\"  HotelName: {doc['HotelName']}\")\n",
    "            print(f\"  Score: {score}\")\n",
    "            print(f\"  City/State: {doc['Address']['City']}, {doc['Address']['StateProvince']}\")\n",
    "            # print(f\"  Semantic Caption: {caption}\\n\")\n",
    "            print(f\"  Description: {doc.get('Description')}\\n\")\n",
    "\n",
    "    except Exception as ex:\n",
    "        print(\"Semantic hybrid search failed:\", ex)\n",
    "else:\n",
    "    print(\"No vector loaded, skipping search.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "decbe4e8",
   "metadata": {},
   "source": [
    "## "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72013e57",
   "metadata": {},
   "source": [
    "## Hybrid search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f882864b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total hybrid results: 7\n",
      "- Score: 0.03279569745063782\n",
      "  HotelId: 4\n",
      "  HotelName: Sublime Palace Hotel\n",
      "  Description: Sublime Palace Hotel is located in the heart of the historic center of Sublime in an extremely vibrant and lively area within short walking distance to the sites and landmarks of the city and is surrounded by the extraordinary beauty of churches, buildings, shops and monuments. Sublime Cliff is part of a lovingly restored 19th century resort, updated for every modern convenience.\n",
      "  Category: Boutique\n",
      "  Tags: ['concierge', 'view', 'air conditioning']\n",
      "\n",
      "- Score: 0.032522473484277725\n",
      "  HotelId: 13\n",
      "  HotelName: Luxury Lion Resort\n",
      "  Description: Unmatched Luxury. Visit our downtown hotel to indulge in luxury accommodations. Moments from the stadium and transportation hubs, we feature the best in convenience and comfort.\n",
      "  Category: Luxury\n",
      "  Tags: ['bar', 'concierge', 'restaurant']\n",
      "\n",
      "- Score: 0.03205128386616707\n",
      "  HotelId: 48\n",
      "  HotelName: Nordick's Valley Motel\n",
      "  Description: Only 90 miles (about 2 hours) from the nation's capital and nearby most everything the historic valley has to offer. Hiking? Wine Tasting? Exploring the caverns? It's all nearby and we have specially priced packages to help make our B&B your home base for fun while visiting the valley.\n",
      "  Category: Boutique\n",
      "  Tags: ['continental breakfast', 'air conditioning', 'free wifi']\n",
      "\n",
      "- Score: 0.0317460335791111\n",
      "  HotelId: 49\n",
      "  HotelName: Swirling Currents Hotel\n",
      "  Description: Spacious rooms, glamorous suites and residences, rooftop pool, walking access to shopping, dining, entertainment and the city center. Each room comes equipped with a microwave, a coffee maker and a minifridge. In-room entertainment includes complimentary W-Fi and flat-screen TVs.\n",
      "  Category: Suite\n",
      "  Tags: ['air conditioning', 'laundry service', '24-hour front desk service']\n",
      "\n",
      "- Score: 0.03125\n",
      "  HotelId: 2\n",
      "  HotelName: Old Century Hotel\n",
      "  Description: The hotel is situated in a nineteenth century plaza, which has been expanded and renovated to the highest architectural standards to create a modern, functional and first-class hotel in which art and unique historical elements coexist with the most modern comforts. The hotel also regularly hosts events like wine tastings, beer dinners, and live music.\n",
      "  Category: Boutique\n",
      "  Tags: ['pool', 'free wifi', 'air conditioning', 'concierge']\n",
      "\n"
     ]
    }
   ],
   "source": [
    "if vector:\n",
    "    try:\n",
    "        vector_query = VectorizedQuery(\n",
    "            vector=vector,\n",
    "            k_nearest_neighbors=5,\n",
    "            fields=\"DescriptionVector\",\n",
    "            kind=\"vector\",\n",
    "            exhaustive=True\n",
    "        )\n",
    "\n",
    "        results = search_client.search(\n",
    "            include_total_count=True,\n",
    "            search_text=\"historic hotel walk to restaurants and shopping\",  # keyword part\n",
    "            select=[\"HotelId\", \"HotelName\", \"Description\", \"Category\", \"Tags\"],\n",
    "            top=5,\n",
    "            vector_queries=[vector_query]\n",
    "        )\n",
    "\n",
    "        print(f\"Total hybrid results: {results.get_count()}\")\n",
    "        for result in results:\n",
    "            doc = result\n",
    "            score = result.get(\"@search.score\", \"N/A\")\n",
    "            print(f\"- Score: {score}\")\n",
    "            print(f\"  HotelId: {doc['HotelId']}\")            \n",
    "            print(f\"  HotelName: {doc['HotelName']}\")\n",
    "            print(f\"  Description: {doc.get('Description')}\")\n",
    "            print(f\"  Category: {doc.get('Category')}\")\n",
    "            print(f\"  Tags: {doc.get('Tags', 'N/A')}\\n\")\n",
    "\n",
    "    except Exception as ex:\n",
    "        print(\"Hybrid search failed:\", ex)\n",
    "else:\n",
    "    print(\"No vector loaded, skipping search.\")    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "072065ce",
   "metadata": {},
   "source": [
    "## Semantic hybrid search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d27d6bdb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total semantic hybrid results: 7\n",
      "- Score: 0.0317460335791111\n",
      "  Re-ranker Score: 2.6550590991973877\n",
      "  HotelId: 49\n",
      "  HotelName: Swirling Currents Hotel\n",
      "  Description: Spacious rooms, glamorous suites and residences, rooftop pool, walking access to shopping, dining, entertainment and the city center. Each room comes equipped with a microwave, a coffee maker and a minifridge. In-room entertainment includes complimentary W-Fi and flat-screen TVs.\n",
      "  Category: Suite\n",
      "- Score: 0.03279569745063782\n",
      "  Re-ranker Score: 2.599761724472046\n",
      "  HotelId: 4\n",
      "  HotelName: Sublime Palace Hotel\n",
      "  Description: Sublime Palace Hotel is located in the heart of the historic center of Sublime in an extremely vibrant and lively area within short walking distance to the sites and landmarks of the city and is surrounded by the extraordinary beauty of churches, buildings, shops and monuments. Sublime Cliff is part of a lovingly restored 19th century resort, updated for every modern convenience.\n",
      "  Category: Boutique\n",
      "- Score: 0.03125\n",
      "  Re-ranker Score: 2.3480887413024902\n",
      "  HotelId: 2\n",
      "  HotelName: Old Century Hotel\n",
      "  Description: The hotel is situated in a nineteenth century plaza, which has been expanded and renovated to the highest architectural standards to create a modern, functional and first-class hotel in which art and unique historical elements coexist with the most modern comforts. The hotel also regularly hosts events like wine tastings, beer dinners, and live music.\n",
      "  Category: Boutique\n",
      "- Score: 0.016393441706895828\n",
      "  Re-ranker Score: 2.2718777656555176\n",
      "  HotelId: 1\n",
      "  HotelName: Stay-Kay City Hotel\n",
      "  Description: This classic hotel is fully-refurbished and ideally located on the main commercial artery of the city in the heart of New York. A few minutes away is Times Square and the historic centre of the city, as well as other places of interest that make New York one of America's most attractive and cosmopolitan cities.\n",
      "  Category: Boutique\n",
      "- Score: 0.01515151560306549\n",
      "  Re-ranker Score: 2.0582215785980225\n",
      "  HotelId: 3\n",
      "  HotelName: Gastronomic Landscape Hotel\n",
      "  Description: The Gastronomic Hotel stands out for its culinary excellence under the management of William Dough, who advises on and oversees all of the Hotel’s restaurant services.\n",
      "  Category: Suite\n"
     ]
    }
   ],
   "source": [
    "if vector:\n",
    "    try:\n",
    "        vector_query = VectorizedQuery(\n",
    "            vector=vector,\n",
    "            k_nearest_neighbors=5,\n",
    "            fields=\"DescriptionVector\",\n",
    "            kind=\"vector\",\n",
    "            exhaustive=True\n",
    "        )\n",
    "\n",
    "        results = search_client.search(\n",
    "            include_total_count=True,\n",
    "            search_text=\"historic hotel walk to restaurants and shopping\",\n",
    "            select=[\n",
    "                \"HotelId\", \"HotelName\", \"Category\", \"Description\"\n",
    "            ],\n",
    "            query_type=\"semantic\",\n",
    "            semantic_configuration_name=\"my-semantic-config\",\n",
    "            top=5,            \n",
    "            vector_queries=[vector_query]\n",
    "        )\n",
    "\n",
    "        print(f\"Total semantic hybrid results: {results.get_count()}\")\n",
    "        for result in results:\n",
    "            doc = result\n",
    "            score = result.get(\"@search.score\", \"N/A\")\n",
    "            reranker_score = result.get(\"@search.reranker_score\", \"N/A\")\n",
    "            print(f\"- Score: {score}\")\n",
    "            print(f\"  Re-ranker Score: {reranker_score}\")\n",
    "            print(f\"  HotelId: {doc['HotelId']}\")\n",
    "            print(f\"  HotelName: {doc['HotelName']}\")\n",
    "            print(f\"  Description: {doc.get('Description')}\")\n",
    "            print(f\"  Category: {doc.get('Category')}\")\n",
    "\n",
    "    except Exception as ex:\n",
    "        print(\"Semantic hybrid search failed:\", ex)\n",
    "else:\n",
    "    print(\"No vector loaded, skipping search.\")        "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09f211e0",
   "metadata": {},
   "source": [
    "## Clean up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4c1ead82",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index 'vector-search-quickstart' deleted successfully.\n"
     ]
    }
   ],
   "source": [
    "index_client.delete_index(index_name)\n",
    "print(f\"Index '{index_name}' deleted successfully.\")"
   ]
  }
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